Added recipe unifying script

src/super_gradients/common/environment/cfg_utils.py

@@ -9,8 +9,12 @@
 from hydra.core.global_hydra import GlobalHydra
 from omegaconf import OmegaConf, open_dict, DictConfig
 
+from super_gradients.common.environment.omegaconf_utils import register_hydra_resolvers
 from super_gradients.common.environment.path_utils import normalize_path
 from super_gradients.common.environment.checkpoints_dir_utils import get_checkpoints_dir_path
+from super_gradients.common.abstractions.abstract_logger import get_logger
+
+logger = get_logger(__name__)
 
 
 class RecipeNotFoundError(Exception):
@@ -167,3 +171,27 @@ def override_cfg(cfg: DictConfig, overrides: Union[DictConfig, Dict[str, Any]])
     """
     with open_dict(cfg):  # This is required to add new fields to existing config
         cfg.merge_with(overrides)
+
+
+def export_recipe(config_name: str, save_path: str, config_dir: str = pkg_resources.resource_filename("super_gradients.recipes", "")):
+    """
+    saves a complete (i.e no inheritance from other yaml configuration files),
+     .yaml file that can be ran on its own without the need to keep other configurations which the original
+      file inherits from.
+
+    :param config_name: The .yaml config filename (can leave the .yaml postfix out, but not mandatory).
+
+    :param save_path: The config directory path, as absolute file system path.
+        When None, will use SG's recipe directory (i.e path/to/super_gradients/recipes)
+
+    :param config_dir: The config directory path, as absolute file system path.
+        When None, will use SG's recipe directory (i.e path/to/super_gradients/recipes)
+
+    """
+    # NEED TO REGISTER RESOLVERS FIRST
+    register_hydra_resolvers()
+    GlobalHydra.instance().clear()
+    with initialize_config_dir(config_dir=normalize_path(config_dir), version_base="1.2"):
+        cfg = compose(config_name=config_name)
+        OmegaConf.save(config=cfg, f=save_path)
+        logger.info(f"Successfully saved recipe at {save_path}. \n" f"Recipe content:\n {cfg}")

src/super_gradients/scripts/export_recipe.py

@@ -0,0 +1,38 @@
+"""
+Script that saves a complete (i.e no inheritance from other yaml configuration files),
+ .yaml file that can be ran on its own without the need to keep other configurations which the original
+  file inherits from.
+
+Usage:
+    python export_recipe config_name=cifar10_resnet save_path=/other/recipes/dir/my_complete_recipe.yaml -> saves cifar10_resnet_complete.yaml
+     in current working directory
+
+    python export_recipe --config_dir=/path/to/recipes/ config_name=my_recipe.yaml -> saves config_name_complete.yaml in current working directory
+
+    python export_recipe --config_dir=/path/to/recipes/ config_name=my_recipe.yaml save_path=/other/recipes/dir/my_complete_recipe.yaml
+     -> saves the complete recipe in /other/recipes/dir/my_complete_recipe.yaml
+
+:arg config_name: The .yaml config filename (can leave the .yaml postfix out, but not mandatory).
+
+:arg config_dir: The config directory path, as absolute file system path.
+ When None, will use SG's recipe directory (i.e path/to/super_gradients/recipes)
+
+:arg: The output path for the complete .yaml file.
+ When None, will use the current working directory.
+
+"""
+
+import argparse
+import os
+
+from super_gradients.common.environment.cfg_utils import export_recipe
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--config_dir", type=str, default=None, help="The config directory path")
+    parser.add_argument("config_name", type=str, help=".yaml filename")
+    parser.add_argument("save_path", type=str, default=None, help="Destination path to the output .yaml file")
+    args = parser.parse_args()
+    if args.save_path is None:
+        args.save_path = os.path.join(os.getcwd(), args.config_name).replace(".yaml", "") + "_complete.yaml"
+    export_recipe(config_dir=args.config_dir, config_name=args.config_name, save_path=args.save_path)

tests/deci_core_unit_test_suite_runner.py

@@ -25,6 +25,7 @@
     TestModelPredict,
     TestDeprecationDecorator,
     DynamicModelTests,
+    TestExportRecipe,
     TestMixedPrecisionDisabled,
 )
 from tests.end_to_end_tests import TestTrainer
@@ -166,6 +167,7 @@ def _add_modules_to_unit_tests_suite(self):
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(TestPoseEstimationModelExport))
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(YoloNASPoseTests))
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(PoseEstimationSampleTest))
+        self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(TestExportRecipe))
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(TestMixedPrecisionDisabled))
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(DynamicModelTests))
         self.unit_tests_suite.addTest(self.test_loader.loadTestsFromModule(TestConvertRecipeToCode))

tests/unit_tests/__init__.py

@@ -5,6 +5,7 @@
 from tests.unit_tests.optimizer_params_override_test import TrainOptimizerParamsOverride
 from tests.unit_tests.resume_training_test import ResumeTrainingTest
 from tests.unit_tests.strictload_enum_test import StrictLoadEnumTest
+from tests.unit_tests.test_export_recipe import TestExportRecipe
 from tests.unit_tests.train_after_test_test import CallTrainAfterTestTest
 from tests.unit_tests.zero_weight_decay_on_bias_bn_test import ZeroWdForBnBiasTest
 from tests.unit_tests.save_ckpt_test import SaveCkptListUnitTest
@@ -59,4 +60,5 @@
     "TestDeprecationDecorator",
     "TestMixedPrecisionDisabled",
     "DynamicModelTests",
+    "TestExportRecipe",
 ]

tests/unit_tests/test_export_recipe.py

@@ -0,0 +1,30 @@
+import tempfile
+import unittest
+import os
+
+import hydra
+from hydra import initialize_config_dir, compose
+
+from super_gradients.common.environment.cfg_utils import export_recipe
+
+
+class TestExportRecipe(unittest.TestCase):
+    def test_export_recipe(self):
+        with tempfile.TemporaryDirectory() as td:
+            save_path = os.path.join(td, "cifar10_resnet_complete.yaml")
+            # Define the command to run your script
+            export_recipe(config_name="cifar10_resnet", save_path=save_path)
+
+            # Check if the output file was created
+            self.assertTrue(os.path.exists(save_path))
+
+            with initialize_config_dir(config_dir=td, version_base="1.2"):
+                cfg = compose(config_name="cifar10_resnet_complete.yaml")
+
+            cfg = hydra.utils.instantiate(cfg)
+
+            self.assertEqual(cfg.training_hyperparams.max_epochs, 250)
+
+
+if __name__ == "__main__":
+    unittest.main()